Can popular AI large language models provide reliable answers to frequently asked questions about rotator cuff tears?
AI LLMs generally cannot offer sufficient information quality and readability. While they are not ready for use in medical field, they show a promising future. There is a necessity for continuous re-evaluation of these models due to their rapid evolution. Developing new, comprehensive tools for evaluating medical information quality and readability is crucial for ensuring these models can effectively support patient education. Future research should focus on enhancing readability and consistent information quality to better serve patients.
Authors
- Gökhan Ayık (ORCID: https://orcid.org/0000-0003-1454-7157)
- Filippo Familiari (ORCID: https://orcid.org/0000-0002-3453-2043)
- Mehmet Kaymakoğlu (ORCID: https://orcid.org/0000-0002-3548-5672)
- Ulaş Can Kolaç (ORCID: https://orcid.org/0000-0003-0502-3351)
- Orhan Mete Karademir
Institutions
- Izmir University (TR)
- İzmir University of Economics (TR)
- Magna Graecia University (IT)
- Qatar Orthopaedic and Sports Medicine Hospital (QA)
- Institute for Musculoskeletal Health (AU)
- Yüksek İhtisas Üniversitesi (TR)
- Hacettepe University (TR)
Publication Details
- Journal
- JSES International
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1016/j.jseint.2024.11.012
- Citations
- 13
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 5.26